Publication in EndNote Format

%0 Report
%@ 402
%A Quam, Lynn H.
%T Hierarchical Warp Stereo
%C 333 Ravenswood Ave., Menlo Park, CA 94025
%I AI Center, SRI International
%D 1986
%X This paper describes a new technique for use in the automatic production of digital
terrain models from stereo pairs of aerial images. This technique employs a coarse-to-fine
hierarchical control structure both for global constraint propagation and for
efficiency. By the use of disparity estimates from coarser levels of the hierarchy,
one of the images is geometrically warped to improve the performance of the cross-correlation-based
matching operator. A newly developed surface interpolation algorithm is used to
fill holes wherever the matching operator fails. Experimental results for the
Phoenix Mountain Park data set are presented and compared with those obtained
by ETL.
%U http://www.ai.sri.com/pubs/files/563.pdf